Computers and Electronics in Agriculture,
Journal Year:
2024,
Volume and Issue:
220, P. 108890 - 108890
Published: March 29, 2024
In
chicken
breeding,
body
fat
distribution
is
an
important
genetic
indicator.
To
address
the
issues
of
low
accuracy,
high
workload,
and
limited
experimental
environment
in
traditional
measurement
methods,
this
paper
proposes
online
method
for
live
based
on
principle
bio-electrical
impedance.
The
system
uses
STM32F103C8T6
processor,
AD5933
impedance
module,
four-electrode
sampling
core
module
to
design
system.
During
detection
process,
electrode
was
placed
left
chest-left
tibia
broilers,
a
constant
excitation
frequency
signal
50
kHz
sent
electrode.
feedback
information
then
analyzed
by
calculated
establish
mathematical
model
correlation
between
values
percentage.
Using
proposed
electrical
rate
30
Wenchang
free-range
chickens
at
107-day-old
were
measured
respectively.
results
show
that
there
significant
positive
broilers
their
(P
<
0.01),
which
consistent
with
previous
observations
characteristics
At
95
%
confidence
level,
accuracy
predicted
value
compared
actual
reached
88.43
%.
This
study
verifies
feasibility
principle,
thereby
improving
convenience
providing
reliable
data
support
breeding
research.
Journal of Dairy Science,
Journal Year:
2022,
Volume and Issue:
106(2), P. 1168 - 1189
Published: Dec. 14, 2022
Increasing
the
productivity
of
Canadian
dairy
goats
is
critical
to
competitiveness
sector;
however,
little
known
about
underlying
genetic
architecture
economically
important
traits
in
these
populations.
Consequently,
objectives
this
study
were
as
follows:
(1)
perform
a
single-step
GWAS
for
milk
production
(milk,
protein,
and
fat
yields,
protein
percentages
first
later
lactations)
conformation
(body
capacity,
character,
feet
legs,
fore
udder,
general
appearance,
rear
suspensory
ligament,
teats)
Alpine
Saanen
breeds;
(2)
identify
positional
functional
candidate
genes
related
traits.
The
data
available
analysis
included
305-d
records
6,409
3,434
does
lactation
5,827
2,632
lactations;
well
linear
type
5,158
2,342
does.
Genotypes
833
874
animals.
Both
single-breed
multiple-breed
performed
using
single-trait
animal
models.
Positional
then
identified
downstream
analyses.
189
unique
SNP
that
significant
at
chromosomal
level,
corresponding
271
within
50
kb
up-
downstream,
across
breeds
This
provides
evidence
economic
importance
several
(e.g.,
CSN1S1,
CSN2,
CSN1S2,
CSN3,
DGAT1,
ZNF16)
populations
have
been
previously
reported
other
goat
Moreover,
novel
RPL8,
DCK,
MOB1B)
also
identified.
Overall,
results
provided
greater
insight
into
Greater
understanding
will
help
improve
breeding
programs.
BMC Genomics,
Journal Year:
2023,
Volume and Issue:
24(1)
Published: March 15, 2023
Cross
breeding
is
an
important
way
to
improve
livestock
performance.
As
and
poultry
resource
in
Henan
Province
of
China,
Bohuai
goat
was
formed
by
crossing
Boer
Huai
goat.
After
more
than
20
years
breeding,
BoHuai
goats
showed
many
advantages,
such
as
fast
growth,
good
reproductive
performance,
high
meat
yield.
In
order
better
develop
protect
goats,
we
sequenced
the
whole
genomes
30
5
analyze
genetic
diversity,
population
structure
genomic
regions
under
selection
Furthermore,
used
126
published
world-wide
characterize
variation
goat.The
results
that
nucleotide
diversity
lower
degree
linkage
imbalance
higher
other
breeds.
The
analysis
have
obvious
differences
from
addition,
closely
related
highly
similar
Group
signal
study,
found
one
region
on
chromosome
7
shows
a
very
strong
signal,
which
suggests
it
could
well
be
segment
intense
artificial
results.
Through
selective
sweeps,
detected
some
genes
traits
lipid
metabolism
(LDLR,
STAR,
ANGPTL8),
fertility
(STAR),
disease
resistance
(CD274,
DHPS,
PDCD1LG2).In
this
paper,
elucidated
variation,
ancestry
composition,
signals
economic
goats.
Our
studies
genome
will
not
only
help
understand
characteristics
crossbred
but
also
provide
basis
for
improvement
cross-breeding
programs.
Genetics Selection Evolution,
Journal Year:
2023,
Volume and Issue:
55(1)
Published: March 23, 2023
Availability
of
single
nucleotide
polymorphism
(SNP)
genotyping
arrays
and
progress
in
statistical
analyses
have
allowed
the
identification
genomic
regions
genes
under
selection
chicken.
In
this
study,
SNP
data
from
600
K
Affymetrix
chicken
array
were
used
to
detect
signatures
23
local
Italian
populations.
The
populations
categorized
into
four
groups
for
comparative
analysis
based
on
live
weight
(heavy
vs
light)
geographical
area
(Northern
Southern
Italy).
Putative
investigated
by
combining
three
extended
haplotype
homozygosity
(EHH)
approaches
quantify
excess
within
(iHS)
between
(Rsb
XP-EHH)
groups.
Presence
runs
(ROH)
islands
was
also
analysed
each
group.After
editing,
541
animals
313,508
SNPs
available
analyses.
total,
15
candidate
that
are
potentially
detected
among
groups:
eight
a
group
iHS
seven
results
Rsb
XP-EHH,
which
revealed
divergent
largest
overlap
identified
be
chromosome
8.
Twenty-one
with
ROH
approach
but
none
these
overlapped
EHH-derived
statistics.
Some
contained
biological
functions
related
environmental
stress,
immune
responses,
disease
resistance,
indicate
adaptation
populations.Compared
commercial
lines,
predominantly
reared
as
backyard
chickens,
thus,
may
developed
stronger
resistance
challenges.
Our
can
play
an
important
role
shaping
starting
point
identify
gene
mutations
could
useful
respect
climate
change.
Genes,
Journal Year:
2023,
Volume and Issue:
14(6), P. 1183 - 1183
Published: May 29, 2023
This
study
aimed
to
reveal
the
potential
genetic
basis
for
litter
size,
coat
colour,
black
middorsal
stripe
and
skin
colour
by
combining
genome-wide
association
analysis
(GWAS)
selection
signature
ROH
detection
within
Youzhou
dark
(YZD)
goat
population
(n
=
206)
using
Illumina
GoatSNP54
BeadChip.
In
GWAS,
we
identified
one
SNP
(snp54094-scaffold824-899720)
on
chromosome
11
two
SNPs
26
(snp11508-scaffold142-1990450,
SORCS3)
12
(snp55048-scaffold842-324525,
LOC102187779)
18
(snp56013-scaffold873-22716,
TCF25)
stripe.
contrast,
no
were
colour.
analysis,
295
significant
iHS
genomic
regions
with
a
mean
|iHS|
score
>
2.66,
containing
signatures
encompassing
232
candidate
genes
detected.
particular,
43
GO
terms
KEGG
pathway
significantly
enriched
in
selected
genes,
which
may
contribute
excellent
environmental
adaptability
characteristic
trait
formation
during
domestication
of
YZD
goats.
detection,
4446
segments
282
consensus
regions,
among
nine
common
overlapped
those
detected
method.
Some
known
economic
traits
such
as
reproduction
(TSHR,
ANGPT4,
CENPF,
PIBF1,
DACH1,
DIS3,
CHST1,
COL4A1,
PRKD1
DNMT3B)
development
growth
(TNPO2,
IFT80,
UCP2,
UCP3,
GHRHR,
SIM1,
CCM2L,
CTNNA3
CTNNA1)
revealed
detection.
Overall,
this
is
limited
small
affects
results
GWAS
certain
extent.
Nevertheless,
our
findings
could
provide
first
overview
mechanism
underlying
these
important
novel
insights
into
future
conservation
utilisation
Chinese
germplasm
resources.
Computers and Electronics in Agriculture,
Journal Year:
2024,
Volume and Issue:
220, P. 108890 - 108890
Published: March 29, 2024
In
chicken
breeding,
body
fat
distribution
is
an
important
genetic
indicator.
To
address
the
issues
of
low
accuracy,
high
workload,
and
limited
experimental
environment
in
traditional
measurement
methods,
this
paper
proposes
online
method
for
live
based
on
principle
bio-electrical
impedance.
The
system
uses
STM32F103C8T6
processor,
AD5933
impedance
module,
four-electrode
sampling
core
module
to
design
system.
During
detection
process,
electrode
was
placed
left
chest-left
tibia
broilers,
a
constant
excitation
frequency
signal
50
kHz
sent
electrode.
feedback
information
then
analyzed
by
calculated
establish
mathematical
model
correlation
between
values
percentage.
Using
proposed
electrical
rate
30
Wenchang
free-range
chickens
at
107-day-old
were
measured
respectively.
results
show
that
there
significant
positive
broilers
their
(P
<
0.01),
which
consistent
with
previous
observations
characteristics
At
95
%
confidence
level,
accuracy
predicted
value
compared
actual
reached
88.43
%.
This
study
verifies
feasibility
principle,
thereby
improving
convenience
providing
reliable
data
support
breeding
research.